liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The accuracy of CT Numbers for DIRA with indata from a Real Dual-Source DECT-scanner
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9072-2204
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Medical radiation physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-3352-8330
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Dept. of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden.ORCID iD: 0000-0002-4549-8303
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-1257-2383
2024 (English)In: The 8th International Conferenceon Image Formationin X-Ray Computed Tomography: Program and Proceedings, 2024, p. 404-407Conference paper, Published paper (Other academic)
Abstract [en]

Accurate CT numbers obtained from Dual-energycomputed tomography (DECT), may improve the accuracy of radiation treatment planning. Our Dual energy Iterative Reconstruction Algorithm (DIRA) utilizes material decompositionin the iterative loop to produce accurate CT numbers of the imaged object. DIRA produces two mono-energy images. These mono-energies correspond to the effective energies of the two X-ray spectra. In simulations, the resulting CT numbers in the reconstructed images have shown to agree well with tabulated values. The aim of this work is to see if DIRA can also be used on real data. Compared to simulated data, the following adjustments were needed; i) Elimination of patient table. ii) Bow-tie filter modeling and adaptation to this in DIRA. iii) Application of inverse water beam hardening correction. A Siemens SOMATOM Force scanner was used to scan a cylindrical PMMA phantom with four rod inserts made of different materials. For simlicity, an axial scan was used. 6 iterations of DIRA was applied, where the 0th iteration is our own implementation of filtered backprojection (FBP). DIRA at iteration 6 gave values close to the tabulated ones. DIRA also performed well on an anthropomorphic head phantom (CIRS model 731-HN), with specified material composition.

Place, publisher, year, edition, pages
2024. p. 404-407
National Category
Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-217426OAI: oai:DiVA.org:liu-217426DiVA, id: diva2:1995213
Conference
8th International Conference on Image Formation in X-Ray Computed Tomography, August 5-August 9, 2024, Bamberg, Germany
Note

Differnt spelling of author name in the proceedings: Mikael Sandborg (Michael Sandborg).

Available from: 2025-09-04 Created: 2025-09-04 Last updated: 2025-12-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Konferensbidrag / Conference proceedingsLänk till konferens / Link to conference

Authority records

Magnusson, MariaSandborg, MichaelCarlsson Tedgren, ÅsaMalusek, Alexandr

Search in DiVA

By author/editor
Magnusson, MariaSandborg, MichaelCarlsson Tedgren, ÅsaMalusek, Alexandr
By organisation
Computer VisionFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)Division of Diagnostics and Specialist MedicineFaculty of Medicine and Health SciencesMedical radiation physics
Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 147 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf